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PDE methods for DWMRI Analysis and Image Registration

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In IEEE International Conference on Image Processing (ICIP), volume 2, pages 794 ... Use open curves to find the optimal 'anchor tract' connecting two ROIs ... – PowerPoint PPT presentation

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Title: PDE methods for DWMRI Analysis and Image Registration


1
PDE methods for DWMRI Analysis and Image
Registration
presented by John Melonakos NAMIC Core 1
Workshop 31/May/2007
2
Outline
  • Geodesic Tractography Review
  • Cingulum Bundle Tractography
  • ---------------------------------------------
  • Fast Numerical Schemes
  • Applications to Image Registration

3
Contributors
  • Georgia Tech-
  • John Melonakos, Vandana Mohan, Allen Tannenbaum
  • BWH-
  • Marc Niethammer, Kate Smith, Marek Kubicki,
    Martha Shenton
  • UCI-
  • Jim Fallon

4
Publications
  • J. Melonakos, E. Pichon, S. Angenent, A.
    Tannenbaum. Finsler Active Contours. IEEE
    Transactions on Pattern Analysis and Machine
    Intelligence. (to appear 2007).
  • J. Melonakos, V. Mohan, M. Niethammer, K. Smith,
    M. Kubicki, A. Tannenbaum. Finsler Tractography
    for White Matter Connectivity Analysis of the
    Cingulum Bundle. MICCAI 2007.
  • V. Mohan, J. Melonakos, M. Niethammer, M.
    Kubicki, A. Tannenbaum. Finsler Level Set
    Segmentation for Imagery in Oriented Domains.
    BMVC 2007 (in submission).
  • Eric Pichon and Allen Tannenbaum. Curve
    segmentation using directional information,
    relation to pattern detection. In IEEE
    International Conference on Image Processing
    (ICIP), volume 2, pages 794-797, 2005.
  • Eric Pichon, Carl-Fredrik Westin, and Allen
    Tannenbaum. A Hamilton-Jacobi-Bellman approach to
    high angular resolution diffusion tractography.
    In International Conference on Medical Image
    Computing and Computer Assisted Intervention
    (MICCAI), pages 180-187, 2005.

5
Directional Dependence
the new length functional
tangent direction
This is a metric on a Finsler manifold if ?
satisfies certain properties.
6
Finsler Metrics
  • the Finsler properties
  • Regularity
  • Positive homogeneity of degree one in the second
    variable
  • Strong Convexity

Note Finsler geometry is a generalization of
Riemannian geometry.
7
Closed CurvesThe Flow Derivation
Computing the first variation of the functional
E, the L2-optimal E-minimizing deformation is
8
Open CurvesThe Value Function
Consider a seed region S½Rn, define for all
target points t2Rn the value function
curves between S and t
It satisfies the Hamilton-Jacobi-Bellman equation
9
Numerics
Closed Curves
Open Curves
Level Set Techniques
Dynamic Programming (Fast Sweeping)
10
Finsler vs Riemann vs Euclid
11
Outline
  • Geodesic Tractography Review
  • Cingulum Bundle Tractography
  • ---------------------------------------------
  • Fast Numerical Schemes
  • Applications to Image Registration

12
A Novel Approach
  • Use open curves to find the optimal anchor
    tract connecting two ROIs
  • Initialize a level set surface evolution on the
    anchor tract to capture the entire fiber bundle.

13
The Cingulum Bundle
  • 5-7 mm in diameter
  • ring-like belt around CC
  • Involved in executive control and emotional
    processing

14
The Data
  • 24 datasets from BWH (Marek Kubicki)
  • 12 Schizophrenics
  • 12 Normal Controls
  • 54 Sampling Directions

15
The Algorithm Input
  • Locating the bundle endpoints
  • (work done by Kate Smith)

16
The Algorithm Input
  • How the ROIs were drawn

17
Results
  • Anterior View
  • Posterior View

18
Results
19
Results
20
Results A Statistical Note
  • Attempt to sub-divide the tract to find FA
    significance

21
Work In Progress
  • Implemented a level set surface evolution to
    capture the entire bundle preliminary results.
  • Working with Marek Kubicki and Jim Fallon to make
    informed subdivision of the bundle for
    statistical processing.
  • Linking the technique to segmentation work in
    order to connect brain structures.

22
Outline
  • Geodesic Tractography Review
  • Cingulum Bundle Tractography
  • ---------------------------------------------
  • Fast Numerical Schemes
  • Applications to Image Registration

23
Contributors
  • Georgia Tech-
  • Gallagher Pryor, Tauseef Rehman, John Melonakos,
    Allen Tannenbaum

24
Publications
  • T. Rehman, G. Pryor, J. Melonakos, I. Talos, A.
    Tannenbaum. Multi-resolution 3D Nonrigid
    Registration via Optimal Mass Transport. MICCAI
    2007 workshop (in submission).
  • T. Rehman, G. Pryor, and A. Tannenbaum. Fast
    Optimal Mass Transport for Dynamic Active Contour
    Tracking on the GPU. In IEEE Conference on
    Decision and Control, 2007 (in submission).
  • G. Pryor, T. Rehman, A. Tannenbaum. BMVC 2007 (in
    submission).

25
Multigrid Numerical Schemes
26
Parallel Computing
27
Algorithms on the GPU
28
Parallel Computing
29
Parallel Computing
30
Outline
  • Geodesic Tractography Review
  • Cingulum Bundle Tractography
  • ---------------------------------------------
  • Fast Numerical Schemes
  • Applications to Image Registration

31
The Registration Problem
  • Synthetic Registration Problem

32
Solution The Warped Grid
  • Synthetic Registration Problem

33
The Registration Problem
  • Before
  • After
  • Brain Sag Registration Problem

34
Solution The Warped Grid
35
Speedup
A 1283 registration in less than 15 seconds
36
Key Conclusions
  • Multigrid algorithms on the GPU can dramatically
    increase performance
  • We used Optimal Mass Transport for registration,
    but other PDEs may also be implemented in this way

37
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